Building Enterprise IoT Applications - Chandrasekar Vuppalapati

Building Enterprise IoT Applications

Buch | Hardcover
452 Seiten
2019
CRC Press (Verlag)
978-0-367-17385-2 (ISBN)
229,95 inkl. MwSt
This book covers all aspects of Internet of Things (IoT) software development from startup, industry and academic perspectives with the ultimate goal of empowering readers to create state-of-the-art IoT applications. The cases presented in the book encourage readers to create innovative blue ocean software products.
McKinsey Global Institute predicts Internet of Things (IoT) could generate up to $11.1 trillion a year in economic value by 2025. Gartner Research Company expects 20 billion inter-connected devices by 2020 and, as per Gartner, the IoT will have a significant impact on the economy by transforming many enterprises into digital businesses and facilitating new business models, improving efficiency and increasing employee and customer engagement. It’s clear from above and our research that the IoT is a game changer and will have huge positive impact in foreseeable future.

In order to harvest the benefits of IoT revolution, the traditional software development paradigms must be fully upgraded. The mission of our book, is to prepare current and future software engineering teams with the skills and tools to fully utilize IoT capabilities. The book introduces essential IoT concepts from the perspectives of full-scale software development with the emphasis on creating niche blue ocean products. It also:






Outlines a fundamental full stack architecture for IoT



Describes various development technologies in each IoT layer



Explains IoT solution development from Product management perspective



Extensively covers security and applicable threat models as part of IoT stack

The book provides details of several IoT reference architectures with emphasis on data integration, edge analytics, cluster architectures and closed loop responses.

Chandra is a Software IT Executive with diverse experience in Software Technologies, Enterprise Software Architectures, Cloud Computing, Big Data Business Analytics, Internet Of Things (IoT), and Software Product & Program Management. Chandra held engineering and Product leadership roles at GE Healthcare, Cisco Systems, St. Jude Medical, and Lucent Technologies, a Bell Laboratories Company. Chandra teaches Software Engineering, Mobile Computing, Cloud Technologies, and Web & Data Mining for Masters program in San Jose State University. Additionally, Chandra held market research, strategy and technology architecture advisory roles in Cisco Systems, Lam Research and performed Principal Investigator role for Valley School of Nursing where he connected Nursing Educators & Students with Virtual Reality technologies. Chandra has functioned as Chair in numerous technology and advanced computing conferences such as: IEEE Oxford, UK, IEEE Big Data Services 2017, San Francisco USA and Future of Information and Communication Conference 2018, Singapore. Chandra graduated from San Jose State University Masters Program, specializing Software Engineering, and completed his Master of Business Administration from Santa Clara University, Santa Clara, California, USA

Business Section. IoT Market Research. IoT Major Platforms. Product Management. Program Management. IoT Technology Landscape. SDLC & IoT. Data Governanace. Data Security & Threat Models. Data Privacy. Design of KPIs. Government Regulations. Software Technology Section. IoT Architecture Patterns. IoT Full Stack View. IoT Sensors & Embedded Devices. Edge Processors. Mobile Software Platform. Message Platforms. Middleware & Microservices. Web & Cloud Platfroms. Database Platfroms. Big Data Technologies. Cluster & Stream Platfroms. Analytics Platfroms. Visualzation Platforms. Testing. IoT Security. Usecases. Dairy Agriculture. Hospitality & Ambience Intelligence. Preventative Healtcare.

Erscheinungsdatum
Zusatzinfo 88 Tables, black and white; 308 Illustrations, black and white
Verlagsort London
Sprache englisch
Maße 178 x 254 mm
Gewicht 988 g
Themenwelt Mathematik / Informatik Informatik Theorie / Studium
ISBN-10 0-367-17385-9 / 0367173859
ISBN-13 978-0-367-17385-2 / 9780367173852
Zustand Neuware
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